@inproceedings{6c9123e055f842d3b5e6ee9d9b2de4ca,
title = "Venous Tree Separation based on Local Feature",
abstract = "The extraction of hepatic and portal vein structures from abdominal CT angiography (CTA) series plays an important role in the preoperative planning and intraoperative navigation of liver surgery. This study proposes a novel method for liver venous tree separation to solve touching hepatic and portal vessels. The proposed method initially focuses on extracting the connected minimal path. Intersections and bifurcation points are obtained through topologic analysis. Then, the proposed method analyzes the local features of breakpoints to separate the venous tree. Lastly, a blood flow direction-based branch completion for breakpoints is proposed to obtain more accurate vascular structures. The segmentation results of the hepatic and portal vein are reconstructed. Our method is tested on 19 clinical CTA series, and our method is demonstrated its effectiveness.",
keywords = "Liver venous tree, Local feature, Topological analysis, Vessel separation",
author = "Yuhan Liu and Tianyu Fu and Qing Guo and Jingfan Fan and Hong Song and Yurong Jiang and Jian Yang",
note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 4th International Conference on Digital Signal Processing, ICDSP 2020 ; Conference date: 19-06-2020 Through 21-06-2020",
year = "2020",
month = jun,
day = "19",
doi = "10.1145/3408127.3408202",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "97--101",
booktitle = "ICDSP 2020 - 2020 4th International Conference on Digital Signal Processing, Proceedings",
}